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Cited by 292

The DOI matches its Crossref record; 90 of the 90 references it cites were found in a registry or an index.

Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

Open access
McCartney, Daniel L., Min, Josine L., Richmond, Rebecca C., Lu, Ake T., Sobczyk, Maria K., Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R., Mishra, Pashupati P., Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M., Ratliff, Scott M., Richardson, Tom G., Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D., Walker, Rosie M., Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R., Gieger, Christian, The Genetics of DNA Methylation Consortium, de Geus, Eco J. C., Harris, Sarah E., Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon L. R., Kresovich, Jacob K., Li, Shengxu, Lunetta, Kathryn L., Mangino, Massimo, Mason, Dan, McIntosh, Andrew M., Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M., NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Ollikainen, Miina, Pankow, James S., Pedersen, Nancy L., Peters, Annette, Polidoro, Silvia, Porteous, David J., Raitakari, Olli, Rich, Stephen S., Sandler, Dale P., Sillanpää, Elina, Smith, Alicia K., Southey, Melissa C., Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G., Van Den Berg, David J., van Dongen, Jenny, Wilson, James G., Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T., Binder, Alexandra M., Boomsma, Dorret I., Chen, Wei, Christensen, Kaare, Conneely, Karen N., Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A., Lehtimäki, Terho, Lohoff, Falk W., Milani, Lili, Milne, Roger L., Probst-Hensch, Nicole, Reiner, Alex P., Ritz, Beate, Rotter, Jerome I., Smith, Jennifer A., Taylor, Jack A., van Meurs, Joyce B. J., Vineis, Paolo, Waldenberger, Melanie, Deary, Ian J., Relton, Caroline L., Horvath, Steve, Marioni, Riccardo E.·2021·Genome Biology
DOI 10.1186/s13059-021-02398-9
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Abstract

Background: Biological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation in these measures in populations has become a major goal in the field. Results: Leveraging DNA methylation and SNP data from more than 40,000 individuals, we identify 137 genome-wide significant loci, of which 113 are novel, from genome-wide association study (GWAS) meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels, respectively. We find evidence for shared genetic loci associated with the Horvath clock and expression of transcripts encoding genes linked to lipid metabolism and immune function. Notably, these loci are independent of those reported to regulate DNA methylation levels at constituent clock CpGs. A polygenic score for GrimAge acceleration showed strong associations with adiposity-related traits, educational attainment, parental longevity, and C-reactive protein levels. Conclusion: This study illuminates the genetic architecture underlying epigenetic aging and its shared genetic contributions with lifestyle factors and longevity.

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Authors
McCartney, D. L., Min, J. L., Richmond, R. C., Lu, A. T., Sobczyk, M. K., Davies, G., Broer, L., Guo, X., Jeong, A., Jung, J., Kasela, S., Katrinli, S., Kuo, P.-L., Matias-Garcia, P. R., Mishra, P. P., Nygaard, M., Palviainen, T., Patki, A., Raffield, L. M., Ratliff, S. M., Richardson, T. G., Robinson, O., Soerensen, M., Sun, D., Tsai, P.-C., van der Zee, M. D., Walker, R. M., Wang, X., Wang, Y., Xia, R., Xu, Z., Yao, J., Zhao, W., Correa, A., Boerwinkle, E., Dugué, P.-A., Durda, P., Elliott, H. R., Gieger, C., The Genetics of DNA Methylation Consortium, de Geus, E. J. C., Harris, S. E., Hemani, G., Imboden, M., Kähönen, M., Kardia, S. L. R., Kresovich, J. K., Li, S., Lunetta, K. L., Mangino, M., Mason, D., McIntosh, A. M., Mengel-From, J., Moore, A. Z., Murabito, J. M., NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Ollikainen, M., Pankow, J. S., Pedersen, N. L., Peters, A., Polidoro, S., Porteous, D. J., Raitakari, O., Rich, S. S., Sandler, D. P., Sillanpää, E., Smith, A. K., Southey, M. C., Strauch, K., Tiwari, H., Tanaka, T., Tillin, T., Uitterlinden, A. G., Van Den Berg, D. J., van Dongen, J., Wilson, J. G., Wright, J., Yet, I., Arnett, D., Bandinelli, S., Bell, J. T., Binder, A. M., Boomsma, D. I., Chen, W., Christensen, K., Conneely, K. N., Elliott, P., Ferrucci, L., Fornage, M., Hägg, S., Hayward, C., Irvin, M., Kaprio, J., Lawlor, D. A., Lehtimäki, T., Lohoff, F. W., Milani, L., Milne, R. L., Probst-Hensch, N., Reiner, A. P., Ritz, B., Rotter, J. I., Smith, J. A., Taylor, J. A., van Meurs, J. B. J., Vineis, P., Waldenberger, M., Deary, I. J., Relton, C. L., Horvath, S., & Marioni, R. E.
Venue
Genome Biology
Publisher
Springer Science and Business Media LLC
Published
2021-06-29
Volume
22
Issue
1
Pages
194-194
ISSN
  • 1465-6906 (ISSN-L)
  • 1474-760X
DOI
10.1186/s13059-021-02398-9
OpenAlex
W3177165321
Cited by
292
References
90
FWCI
11.27
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging. https://app.cochat.ai/papers/10.1186/s13059-021-02398-9
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McCartney, D. L., Min, J. L., Richmond, R. C., Lu, A. T., Sobczyk, M. K., Davies, G., Broer, L., Guo, X., Jeong, A., Jung, J., Kasela, S., Katrinli, S., Kuo, P.-L., Matias-Garcia, P. R., Mishra, P. P., Nygaard, M., Palviainen, T., Patki, A., Raffield, L. M., . . . Marioni, R. E. (2021). Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging. Genome Biology. https://doi.org/10.1186/s13059-021-02398-9

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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